Software Engineer II securing Abnormal AI customer data through authentication, governance, and auditability. Building cloud - based security solutions with Golang and Python for global engineering teams.
About the role
- Full Stack Developer building and maintaining data pipelines for audience data at CBC. Collaborating with teams to enhance data tools and workflows while embracing a hybrid work model.
Responsibilities
- You will primarily work on building, improving, and maintaining the existing data pipelines for audience data from various streams and products.
- You are looking to apply and build upon your skills in: Collaborating with Product Manager, Product Owners, UX/UI Leads and Architect to assess feasibility of proposed changes/features and helping to break down, clarify, prioritize and estimate work to deliver value in each sprint/product increment
- Open communication and dialogue with team members on an ongoing basis, being supportive and receptive to feedback and questions.
- Having an opportunity to join a company with a mission, value set, and tech-forward approach that aligns with your own; a place where knowledge-sharing guides your learning.
- Wanting to be part of a fun team, engaged in a continuous learning culture, where you can take on new challenges and be a significant contributor to engaging our pan Canadian audience.
Requirements
- Three or more years of experience in a senior development role.
- The communication skills. You know how to listen and relay empathy and understanding for diverse perspectives.
- The education: A Computer Science, Engineering degree or equivalent is preferred, but we know not everyone gains their programming skills this way.
- You have the knowledge and understanding of software development and testing best practices.
- You are passionate about learning new technologies and exploring innovative solutions.
- The tools: Demonstrated experience working with either JavaScript (Must), TypeScript (Must), Java (Desired), Go (Desired) and Python.
- You are comfortable working across the full SDLC, including using test automation frameworks such as Cypress, Playwright and Jest; and on deployments.
- You are comfortable working in a cloud and containerized environment using GCP, Azure, OpenShift, Docker, and Kubernetes.
- Proven experience with the frameworks and vendor integrations/products that the ADaPT team currently works on e.g. React, Apache Beam, Data Clean Rooms, Blueconic, Lotame and Didomi.
- The collaborative Agile experience. You enjoy collaboration, pair-programming, and knowledge sharing.
- You do your best work in a team-focused environment. You believe in the Agile methodology, and you are flexible and open to change.
- You are comfortable with iterative and incremental development.
- Data governance and privacy expertise: You have a general awareness of Privacy by Design, a general awareness of consent frameworks (Interactive Advertising Bureau’s - IAB’s Transparency Consent Frameworks), and a general awareness of privacy legislation (GDPR, CCPA, Privacy Act, Quebec law 25, formerly Bill C-27).
Benefits
- Work with purpose and impact at scale
- Flexible work schedules, allowing you to find balance for yourself, your family and your work;
- A hybrid environment you can enjoy the benefits of work from home and in-office collaboration
- Competitive total rewards package including robust health benefits and best-in-class defined benefits pension plan;
- Dedicated time for innovation, learning and development; wherever your interests lie;
- Opportunities to work with emerging technology;
- Opportunities for continued learning and professional development;
- Opportunities to become a member of our Employee Resource Groups;
- Pair programming and mentorship opportunities, where you can learn from the best in the industry and help coach new talent;
- A creative and dynamic work environment, where your ideas and contributions can be heard, valued and respected;
- A supportive management team committed to upholding the highest standards of diversity and inclusivity;
- An environment which favors experimentation and an iterative approach in order to achieve the highest form of technical innovation.
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